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A Network Theoretical Approach to Identify Vulnerabilities of Urban Drainage Networks Against Structural Failures

机译:一种识别城市排水网络脆弱性结构故障的网络理论方法

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This paper compares two different representations (primal-mapping and dual-mapping) and applies a range of topological metrics to analysis the vulnerability of an urban drainage network (UDN) against structural failures, which is examined in the Elster Creek catchment. Based on the node degree distribution, the properties of the dual graph are similar to a scale-free network while the primal graph behaves like a random network. Further, the results show that the structure of the dual graph has better connectivity and redundancy compared to the structure of the primal graph. To identify vulnerabilities this paper test's a new centrality metrics, that modifies betweenness centrality based on the UDN's performance. This new metric ranks the most vulnerable conduit in the UDN. To validate the ranking a hydrodynamic model is used as a reference. The results show the significance of the structural metric in identifying critical components of the UDN and suggest a dual representation is an appropriate method for investigating vulnerabilities of an UDN against structural failures.
机译:本文比较两个不同的表示(原始映射和双映射)并应用范围拓扑度量来分析一个城市排水管网(UDN)对结构损坏,这是在埃尔斯特河流域检查的脆弱性。基于节点度分布,对偶图的性质类似于无标度网络,同时像一个随机网络的原始曲线图的行为。此外,结果表明,对偶图的结构相比,原始图的结构具有更好的连接性和冗余性。为了识别安全漏洞本文测试是一个新的中心度量,即基础上,UDN的性能修改中介中心。这一新指标居UDN最脆弱的管道。为了验证排名液力模型被用作参考。结果显示在识别UDN的关键组成部分的结构度量的意义和建议的双表示为调查对结构损坏的UDN的漏洞的适当方法。

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